MCP Server
by devhysterical
MCP Server is a server that implements the Model Context Protocol (MCP), allowing large language models (LLMs) to interact with external tools and services in a standardized way. It provides a RESTful API for executing various tools.
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What is MCP Server?
MCP Server is a server designed to facilitate communication between large language models and external tools using the Model Context Protocol. It provides a standardized interface for LLMs to access and utilize various tools and services.
How to use MCP Server?
To use the server, first clone the repository, create and activate a virtual environment, and install the necessary dependencies using pip. Then, run the main.py script. Access the API endpoints to execute tools by sending POST requests with the required parameters. The API documentation is available at http://localhost:8000/docs.
Key features of MCP Server
Supports multiple tools (calculator, weather, search)
RESTful API with FastAPI
Data validation with Pydantic
Efficient asynchronous processing
Automatic API documentation with Swagger UI
Use cases of MCP Server
Enabling LLMs to perform calculations
Allowing LLMs to access real-time weather information
Integrating web search functionality into LLMs
Creating intelligent agents that can interact with external services
Standardizing the interaction between LLMs and external tools
FAQ from MCP Server
What is the Model Context Protocol (MCP)?
What is the Model Context Protocol (MCP)?
MCP is a protocol that standardizes the way large language models interact with external tools and services.
What tools are supported by MCP Server?
What tools are supported by MCP Server?
Currently, MCP Server supports calculator, weather, and search tools. More tools can be added as needed.
How do I add a new tool to MCP Server?
How do I add a new tool to MCP Server?
To add a new tool, you need to add the tool name and description to SUPPORTED_TOOLS, add a new processing function in process_tool_request, and create a separate handler function for the new tool.
How do I run the server?
How do I run the server?
After installing the dependencies, run the python main.py command in your terminal. The server will be accessible at http://localhost:8000.
Where can I find the API documentation?
Where can I find the API documentation?
The API documentation is available at http://localhost:8000/docs. It is automatically generated using Swagger UI.